Title :
Coordinated home energy management for real-time power balancing
Author :
Tsung-Hui Chang ; Alizadeh, M. ; Scaglione, A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of California, Davis, Davis, CA, USA
Abstract :
This paper proposes a coordinated home energy management system (HEMS) architecture where the distributed residential units cooperate with each other to achieve real-time power balancing. The economic benefits for the retailer and incentives for the customers to participate in the proposed coordinated HEMS program are given. We formulate the coordinated HEMS design problem as a dynamic programming (DP) and use approximate DP approaches to efficiently handle the design problem. A distributed implementation algorithm based on the convex optimization based dual decomposition technique is also presented. Our focus in the current paper is on the deferrable appliances, such as Plug-in (Hybrid) Electric Vehicles (PHEV), in view of their higher impact on the grid stability. Simulation results shows that the proposed coordinated HEMS architecture can efficiently improve the real-time power balancing.
Keywords :
convex programming; dynamic programming; energy management systems; hybrid electric vehicles; incentive schemes; HEMS; convex optimization based dual decomposition technique; coordinated home energy management system; distributed implementation algorithm; distributed residential units; dynamic programming; economic benefits; grid stability; incentives; plug-in hybrid electric vehicles; real time power balancing; Computer architecture; Electricity; Energy management; Home appliances; Load modeling; Optimization; Real-time systems;
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
DOI :
10.1109/PESGM.2012.6345639